BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GRAND CANYON ENTIRE COURSE LATEST
BIO 500
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Bio 500 grand canyon complete assignment package latestActivity Mode
BIO 500 GC Week 4 Confidence Interval Latest
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
Bio 500 grand canyon complete assignment package latestActivity Mode
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
Bio 500 grand canyon complete assignment package latestActivity Mode
BIO 500 GC Week 4 Confidence Interval Latest
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
Bio 500 grand canyon complete assignment package latestActivity Mode
BIO 500 Grand Canyon Complete Assignment Package Latest
BIO500
BIO 500 GC Week 4 Confidence Interval Latest
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
This document summarizes several monoclonal antibodies approved or in development for preventing migraines by targeting calcitonin gene-related peptide (CGRP). Three antibodies have been approved by the FDA to prevent migraines in adults: erenumab, fremanezumab, and galcanezumab. Eptinezumab is a humanized antibody targeting CGRP that has shown positive results in phase 3 trials for migraine prevention. The document also includes a Migraine Disability Assessment Scale questionnaire to help physicians understand the impact of a patient's headaches.
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GRAND CANYON ENTIRE COURSE LATEST
BIO 500
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Bio 500 grand canyon complete assignment package latestActivity Mode
BIO 500 GC Week 4 Confidence Interval Latest
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
Bio 500 grand canyon complete assignment package latestActivity Mode
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
Bio 500 grand canyon complete assignment package latestActivity Mode
BIO 500 GC Week 4 Confidence Interval Latest
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
Bio 500 grand canyon complete assignment package latestActivity Mode
BIO 500 Grand Canyon Complete Assignment Package Latest
BIO500
BIO 500 GC Week 4 Confidence Interval Latest
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
This document summarizes several monoclonal antibodies approved or in development for preventing migraines by targeting calcitonin gene-related peptide (CGRP). Three antibodies have been approved by the FDA to prevent migraines in adults: erenumab, fremanezumab, and galcanezumab. Eptinezumab is a humanized antibody targeting CGRP that has shown positive results in phase 3 trials for migraine prevention. The document also includes a Migraine Disability Assessment Scale questionnaire to help physicians understand the impact of a patient's headaches.
The document discusses detecting and quantifying individual responses to exercise interventions. It notes that there are true, clinically meaningful differences between individuals in how they respond to the same exercise program. However, some studies that claim to show individual response differences are flawed. Simply looking at responses in a treatment group without a control is not enough. Using a measurement error statistic like the technical error of measurement to define "responders" is also illogical, as such a statistic would label about 24% of individuals as responders or adverse responders in a reliability study alone. The document advocates for using replicated crossover studies and controlling for factors like regression to the mean to better understand individual variability in exercise responses.
This document discusses some statistical issues to consider when conducting research on endocrinology and exercise. It highlights the importance of sample size considerations, accounting for all statistical components, avoiding pseudoreplication in data analysis, and being careful when analyzing change scores and normalized variables. The document emphasizes targeting the mean treatment effect using ANCOVA and accounting for individual differences in change. Researchers are advised to read literature from other fields to be aware of ongoing statistical debates and approaches.
This document discusses statistical power in hypothesis testing. It defines statistical power as the probability of correctly rejecting the null hypothesis when the alternative hypothesis is true. An ideal statistical power is 0.80 or higher. Factors that can affect statistical power include effect size, sample size, alpha level, and beta error rate. The document provides steps for calculating statistical power, using an example of studying how a training may improve writing scores: 1) Find the critical value, 2) Standardize the critical value, 3) Find power from tables. Calculating power can help determine necessary sample size to adequately power a study and avoid being underpowered or overpowered.
Statistics can be misused in several ways: by using small, non-random samples; reporting averages that don't accurately represent the data; changing values to misrepresent facts; making claims without proper context or comparison; implying connections that aren't supported; or using misleading visuals. Common statistical misuses include using small samples to draw broad conclusions, citing a mean when the median is more relevant, changing a percentage to an absolute value to distort perceptions, making claims without a baseline for comparison, implying causal relationships not supported by evidence, and graphs that mislead viewers.
The document discusses the proper and improper uses of statistics. It explains how statistics can be used to describe data, compare data sets, determine relationships, and test hypotheses. However, it also outlines several ways statistics can be misused, such as to sell ineffective products, prove false claims, or induce fear in audiences. Specifically, it describes how using small, biased, or inconvenient samples, ambiguous averages, detached statistics without comparisons, implied connections without proof, misleading graphs, and biased survey questions can distort the truth.
Top 5 tips on how to learn statistics more effectivelyStat Analytica
In this infographic, you will go through how to learn statistics more effectively than ever before. Have a look at this infographic to start learning statistics
This document discusses misuses and limitations of statistics. It provides examples of how statistics can be misleading when organizations selectively publish studies, questions are worded to influence responses, or samples are not representative of the overall population. Limitations of statistics include that they deal with aggregates rather than individuals, quantitative rather than qualitative data, and laws that are true on average rather than exactly. Statistics also cannot prove causation and are limited by the quality of data collection and analysis.
The document discusses data mining and its processes. It defines data mining as discovering patterns and trends in large data through statistical and mathematical techniques. The reasons for data mining include explosive data growth and increased computing power. Humans must be involved in all phases of data mining including problem identification, data preparation, model building, and evaluation. Common data mining tasks are description, estimation, prediction, classification, clustering, and association. These tasks can provide useful insights from data in business and research.
Statistical power lays a foundation for a successful clinical trial, thus affecting all clinical trial professionals. Underpowered studies have a higher risk of not showing a statistically significant effect at the end of the study; whereas overpowered studies can lead to unreasonably large sample sizes, unnecessary risk to patients, and added expense. This webinar will address the basics of statistical power for non-statisticians, highlighting what you need to know about statistical power, how it affects your clinical trial, and what to ask for from your statistician.
Bio 500 gc week 8 bmi statistical report latestActivity Mode
This document provides instructions for a statistical analysis assignment on body mass index (BMI) data. Students are asked to analyze a dataset comparing BMI values between men and women using Excel or SPSS. They must write a 750-1000 word statistical report with sections for an abstract, purpose, methods, and results. The report should include histograms, box plots, and statistics to understand features of the data like center, variation, distribution, and outliers. At least three scholarly references are required using APA style guidelines. The assignment aims to familiarize students with writing formal statistical reports.
Bio 500 gc week 8 bmi statistical report latestActivity Mode
BIO 500 GC Week 8 BMI Statistical Report Latest
Details:
Write a 750-1000 word statistical laboratory report using the guidelines in the assigned article, “How to Write a Statistical Report.” This statistical report is not meant to be an APA report or a multiple-page scholarly treatise. The goal is that you become familiar with the formal report format that you will use whenever you are reporting statistical analysis. The report format includes the following sections: Abstract, Purpose, Methods, and Results.
This document provides guidance on conducting evidence-based searches in PubMed to answer clinical questions. It outlines the 5 steps of evidence-based practice and focuses on steps 1 and 2 - asking questions and acquiring evidence. Readers learn how to develop a focused clinical question using PICO elements and then plan and conduct a search in PubMed using relevant keywords, Medical Subject Headings, Boolean operators and filters. The importance of critically appraising search results to determine the level of evidence is also discussed.
Uop mha 610 week 6 discussion health and nutritional status newNoahliamwilliam
The document discusses a discussion assignment for an MHA course. It provides background on the National Health and Nutritional Examination Survey (NHANES) and the 2012 National Youth Fitness Survey (NNYFS) conducted as part of NHANES. It then describes data from the surveys contained in an Excel file and poses three questions for students to answer about BMI variations. The questions examine if BMI varies between boys and girls, among racial/ethnic groups, and with age. Students are instructed to choose an analysis method and respond to peers who used different methods.
Uop mha 610 week 6 discussion health and nutritional status newshyaminfopvtltd
The document discusses a health and nutrition survey of U.S. children and adults conducted since 1971. It provides an Excel file with health data on 1,576 youths from the 2012 survey, including height, weight, gender, race/ethnicity and age. Students are asked to analyze whether BMI varies between these factors and with age, with options like t-tests or ANOVA cited. Comparing methods is encouraged, with the goal of interpreting results to address public health.
The document discusses a biopsychosocial (BPS) approach to patient care that considers physical, mental, and social factors. Students are asked to complete an assessment involving:
1) Developing an evidence-based concept map illustrating a treatment plan for a condition affecting metabolic balance or glucose regulation (e.g., diabetes, cancer).
2) Justifying the evidence and analyzing how interprofessional collaboration can improve outcomes.
3) Formatting citations and references according to APA style.
The purpose is to demonstrate understanding of patient-centered, evidence-based care and evaluating healthcare systems using a specific case study condition.
1) The document discusses the steps of evidence-based practice (EBP) research and searching PubMed effectively to find evidence. It focuses on converting a clinical question into PICO format and using Medical Subject Headings (MeSH) terms to plan and conduct searches.
2) It describes building search strategies in PubMed by identifying keywords from the PICO elements and finding corresponding MeSH terms to strengthen searches. Filters can then be applied to refine results.
3) Researchers are instructed to critically appraise search results by assessing the validity, results, and clinical applicability of studies to determine if evidence answers the original clinical question.
1. The document provides guidelines for designing a mock survey research proposal, including recommended sections and the steps involved in survey research.
2. It describes key sections of the proposal such as the introduction, background and relevance, research study plan, survey instrument, and deliverables.
3. Guidelines are provided for each section, including choosing a topic, developing a conceptual framework, determining sample size, selecting topical modules, and writing survey questions for one module.
Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docxgerardkortney
Original Work, NO PLAGERIESM, Cite Reference, References, 100 words
https://www.kff.org/disparities-policy/issue-brief/beyond-health-care-the-role-of-social-determinants-in-promoting-health-and-health-equity/
Read article and just in your own words comment on your thoughts regarding the article.
192177
by Elbert Washington
FILE
T IME SUBMIT T ED 28- DEC- 2017 12:25PM WORD COUNT 11857
CHARACT ER COUNT 6537 3
DRAFT _19217 7 .DOCX (27 8.99K)
%5
SIMILARIT Y INDEX
EXCLUDE QUOT ES ON
EXCLUDE
BIBLIOGRAPHY
ON
192177
ORIGINALITY REPORT
192177
WRITECHECK REPORT
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192177by Elbert Washington192177ORIGINALITY REPORT192177WRITECHECK REPORT
How to conduct meta-analysis: A Basic Tutorial
Arindam Basu
University of Canterbury
May 12, 2017
Concepts of meta-analyses
Meta analysis refers to a process of integration of the results of many studies to arrive at evidence syn-
thesis (Normand, 1999). Meta analysis is essentially systematic review; however, in addition to narrative
summary that is conducted in systematic review, in meta analysis, the analysts also numerically pool the
results of the studies and arrive at a summary estimate. In this paper, we discuss the key steps of conducting
a meta analysis. We intend to discuss the steps of a simple meta analysis with a demonstration of the key
steps from a published paper on meta analysis and systematic review of the effectiveness of salt restricted
diet on blood pressure control. This paper is a basic introduction to the process of meta-analysis. In subse-
quent papers in this series, we will discuss how you can conduct meta analysis of diagnostic and screening
studies, and principles of network meta analyses, where you can conduct a meta analysis with more than
one intervention or exposure variable.
Nine Steps to Meta Analyses
We recommend in general the following nine steps of meta analysis. These nine steps are in general applicable
to all meta-analyses.
1. Frame a question (based on a theory)
2. Run a search (on Pubmed/Medline, Google Scholar, other sources)
3. Read the abstract and title of the individual papers.
4. Abstract information from the selected set of final articles.
5. Determine the quality of the information in these articles. This is done using a judgment of their
internal validity but also using the GRADE criteria
6. Determine the extent to which these articles are heterogeneous
7. Estimate the summary effect size in the form of Odds Ratio and using both fixed and random effects
.
The document discusses detecting and quantifying individual responses to exercise interventions. It notes that there are true, clinically meaningful differences between individuals in how they respond to the same exercise program. However, some studies that claim to show individual response differences are flawed. Simply looking at responses in a treatment group without a control is not enough. Using a measurement error statistic like the technical error of measurement to define "responders" is also illogical, as such a statistic would label about 24% of individuals as responders or adverse responders in a reliability study alone. The document advocates for using replicated crossover studies and controlling for factors like regression to the mean to better understand individual variability in exercise responses.
This document discusses some statistical issues to consider when conducting research on endocrinology and exercise. It highlights the importance of sample size considerations, accounting for all statistical components, avoiding pseudoreplication in data analysis, and being careful when analyzing change scores and normalized variables. The document emphasizes targeting the mean treatment effect using ANCOVA and accounting for individual differences in change. Researchers are advised to read literature from other fields to be aware of ongoing statistical debates and approaches.
This document discusses statistical power in hypothesis testing. It defines statistical power as the probability of correctly rejecting the null hypothesis when the alternative hypothesis is true. An ideal statistical power is 0.80 or higher. Factors that can affect statistical power include effect size, sample size, alpha level, and beta error rate. The document provides steps for calculating statistical power, using an example of studying how a training may improve writing scores: 1) Find the critical value, 2) Standardize the critical value, 3) Find power from tables. Calculating power can help determine necessary sample size to adequately power a study and avoid being underpowered or overpowered.
Statistics can be misused in several ways: by using small, non-random samples; reporting averages that don't accurately represent the data; changing values to misrepresent facts; making claims without proper context or comparison; implying connections that aren't supported; or using misleading visuals. Common statistical misuses include using small samples to draw broad conclusions, citing a mean when the median is more relevant, changing a percentage to an absolute value to distort perceptions, making claims without a baseline for comparison, implying causal relationships not supported by evidence, and graphs that mislead viewers.
The document discusses the proper and improper uses of statistics. It explains how statistics can be used to describe data, compare data sets, determine relationships, and test hypotheses. However, it also outlines several ways statistics can be misused, such as to sell ineffective products, prove false claims, or induce fear in audiences. Specifically, it describes how using small, biased, or inconvenient samples, ambiguous averages, detached statistics without comparisons, implied connections without proof, misleading graphs, and biased survey questions can distort the truth.
Top 5 tips on how to learn statistics more effectivelyStat Analytica
In this infographic, you will go through how to learn statistics more effectively than ever before. Have a look at this infographic to start learning statistics
This document discusses misuses and limitations of statistics. It provides examples of how statistics can be misleading when organizations selectively publish studies, questions are worded to influence responses, or samples are not representative of the overall population. Limitations of statistics include that they deal with aggregates rather than individuals, quantitative rather than qualitative data, and laws that are true on average rather than exactly. Statistics also cannot prove causation and are limited by the quality of data collection and analysis.
The document discusses data mining and its processes. It defines data mining as discovering patterns and trends in large data through statistical and mathematical techniques. The reasons for data mining include explosive data growth and increased computing power. Humans must be involved in all phases of data mining including problem identification, data preparation, model building, and evaluation. Common data mining tasks are description, estimation, prediction, classification, clustering, and association. These tasks can provide useful insights from data in business and research.
Statistical power lays a foundation for a successful clinical trial, thus affecting all clinical trial professionals. Underpowered studies have a higher risk of not showing a statistically significant effect at the end of the study; whereas overpowered studies can lead to unreasonably large sample sizes, unnecessary risk to patients, and added expense. This webinar will address the basics of statistical power for non-statisticians, highlighting what you need to know about statistical power, how it affects your clinical trial, and what to ask for from your statistician.
Bio 500 gc week 8 bmi statistical report latestActivity Mode
This document provides instructions for a statistical analysis assignment on body mass index (BMI) data. Students are asked to analyze a dataset comparing BMI values between men and women using Excel or SPSS. They must write a 750-1000 word statistical report with sections for an abstract, purpose, methods, and results. The report should include histograms, box plots, and statistics to understand features of the data like center, variation, distribution, and outliers. At least three scholarly references are required using APA style guidelines. The assignment aims to familiarize students with writing formal statistical reports.
Bio 500 gc week 8 bmi statistical report latestActivity Mode
BIO 500 GC Week 8 BMI Statistical Report Latest
Details:
Write a 750-1000 word statistical laboratory report using the guidelines in the assigned article, “How to Write a Statistical Report.” This statistical report is not meant to be an APA report or a multiple-page scholarly treatise. The goal is that you become familiar with the formal report format that you will use whenever you are reporting statistical analysis. The report format includes the following sections: Abstract, Purpose, Methods, and Results.
This document provides guidance on conducting evidence-based searches in PubMed to answer clinical questions. It outlines the 5 steps of evidence-based practice and focuses on steps 1 and 2 - asking questions and acquiring evidence. Readers learn how to develop a focused clinical question using PICO elements and then plan and conduct a search in PubMed using relevant keywords, Medical Subject Headings, Boolean operators and filters. The importance of critically appraising search results to determine the level of evidence is also discussed.
Uop mha 610 week 6 discussion health and nutritional status newNoahliamwilliam
The document discusses a discussion assignment for an MHA course. It provides background on the National Health and Nutritional Examination Survey (NHANES) and the 2012 National Youth Fitness Survey (NNYFS) conducted as part of NHANES. It then describes data from the surveys contained in an Excel file and poses three questions for students to answer about BMI variations. The questions examine if BMI varies between boys and girls, among racial/ethnic groups, and with age. Students are instructed to choose an analysis method and respond to peers who used different methods.
Uop mha 610 week 6 discussion health and nutritional status newshyaminfopvtltd
The document discusses a health and nutrition survey of U.S. children and adults conducted since 1971. It provides an Excel file with health data on 1,576 youths from the 2012 survey, including height, weight, gender, race/ethnicity and age. Students are asked to analyze whether BMI varies between these factors and with age, with options like t-tests or ANOVA cited. Comparing methods is encouraged, with the goal of interpreting results to address public health.
The document discusses a biopsychosocial (BPS) approach to patient care that considers physical, mental, and social factors. Students are asked to complete an assessment involving:
1) Developing an evidence-based concept map illustrating a treatment plan for a condition affecting metabolic balance or glucose regulation (e.g., diabetes, cancer).
2) Justifying the evidence and analyzing how interprofessional collaboration can improve outcomes.
3) Formatting citations and references according to APA style.
The purpose is to demonstrate understanding of patient-centered, evidence-based care and evaluating healthcare systems using a specific case study condition.
1) The document discusses the steps of evidence-based practice (EBP) research and searching PubMed effectively to find evidence. It focuses on converting a clinical question into PICO format and using Medical Subject Headings (MeSH) terms to plan and conduct searches.
2) It describes building search strategies in PubMed by identifying keywords from the PICO elements and finding corresponding MeSH terms to strengthen searches. Filters can then be applied to refine results.
3) Researchers are instructed to critically appraise search results by assessing the validity, results, and clinical applicability of studies to determine if evidence answers the original clinical question.
1. The document provides guidelines for designing a mock survey research proposal, including recommended sections and the steps involved in survey research.
2. It describes key sections of the proposal such as the introduction, background and relevance, research study plan, survey instrument, and deliverables.
3. Guidelines are provided for each section, including choosing a topic, developing a conceptual framework, determining sample size, selecting topical modules, and writing survey questions for one module.
Original Work, NO PLAGERIESM, Cite Reference, References, 100 word.docxgerardkortney
Original Work, NO PLAGERIESM, Cite Reference, References, 100 words
https://www.kff.org/disparities-policy/issue-brief/beyond-health-care-the-role-of-social-determinants-in-promoting-health-and-health-equity/
Read article and just in your own words comment on your thoughts regarding the article.
192177
by Elbert Washington
FILE
T IME SUBMIT T ED 28- DEC- 2017 12:25PM WORD COUNT 11857
CHARACT ER COUNT 6537 3
DRAFT _19217 7 .DOCX (27 8.99K)
%5
SIMILARIT Y INDEX
EXCLUDE QUOT ES ON
EXCLUDE
BIBLIOGRAPHY
ON
192177
ORIGINALITY REPORT
192177
WRITECHECK REPORT
PAGE 1
PAGE 2
PAGE 3
PAGE 4
PAGE 5
PAGE 6
PAGE 7
PAGE 8
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192177by Elbert Washington192177ORIGINALITY REPORT192177WRITECHECK REPORT
How to conduct meta-analysis: A Basic Tutorial
Arindam Basu
University of Canterbury
May 12, 2017
Concepts of meta-analyses
Meta analysis refers to a process of integration of the results of many studies to arrive at evidence syn-
thesis (Normand, 1999). Meta analysis is essentially systematic review; however, in addition to narrative
summary that is conducted in systematic review, in meta analysis, the analysts also numerically pool the
results of the studies and arrive at a summary estimate. In this paper, we discuss the key steps of conducting
a meta analysis. We intend to discuss the steps of a simple meta analysis with a demonstration of the key
steps from a published paper on meta analysis and systematic review of the effectiveness of salt restricted
diet on blood pressure control. This paper is a basic introduction to the process of meta-analysis. In subse-
quent papers in this series, we will discuss how you can conduct meta analysis of diagnostic and screening
studies, and principles of network meta analyses, where you can conduct a meta analysis with more than
one intervention or exposure variable.
Nine Steps to Meta Analyses
We recommend in general the following nine steps of meta analysis. These nine steps are in general applicable
to all meta-analyses.
1. Frame a question (based on a theory)
2. Run a search (on Pubmed/Medline, Google Scholar, other sources)
3. Read the abstract and title of the individual papers.
4. Abstract information from the selected set of final articles.
5. Determine the quality of the information in these articles. This is done using a judgment of their
internal validity but also using the GRADE criteria
6. Determine the extent to which these articles are heterogeneous
7. Estimate the summary effect size in the form of Odds Ratio and using both fixed and random effects
.
PSYCH 625 MENTOR Education Your Life / psych625mentor.comkopiko27
FOR MORE CLASSES VISIT
www.psych625mentor.com
PSYCH 625 Week 1 Individual Assignment Basic Concepts in Statistics Worksheet
PSYCH 625 Week 1 Individual Assignment Reliability and Validity Matrix
PSYCH 625 Week 1 Individual Assignment Time to Practice – Week One
For more course tutorials visit
www.newtonhelp.com
PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet (New Syllabus)
PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet (New Syllabus)
For more course tutorials visit
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PSYCH 625 Assignment Week 1 Descriptive and Inferential Statistics Worksheet (New Syllabus)
PSYCH 625 Assignment Week 2 Probability and Statistical Analysis Worksheet (New Syllabus)
Course Project Part 1—Gap Analysis Plan and Visio DraftThe.docxbuffydtesurina
Course Project Part 1—Gap Analysis Plan and Visio Draft
The process of comparing the current state of a system or workflow and to the desired, future state of the workflow, and then formulating preliminary ideas about how to move from the current to the future is known as a gap analysis. There are several different ways to collect information about an identified problem and potential solution, including observations, interviews, oral surveys, questionnaires, and existing data, tests.
This week you will begin crafting a Gap Analysis Plan to acquire information about a specific workflow issue in your organization or in one with which you are familiar.
Note:
Your workflow issue MUST be related to the implementation or optimization of electronic health records (EHRs) in the organization in order to connect to meaningful use and the HITECH Act. If the organization currently uses an EHR system, your workflow issue should be related to an inefficiency or problem with how the EHR system is used. If the organization does not yet have an EHR system, your workflow issue should be related to an inefficiency or problem that could be solved by implementing an EHR system.
To prepare for Part 1 of the Course Project:
Identify the workflow issue you would like to explore throughout your Course Project. This should be a specific task about which you have sufficient content knowledge and access to describe and analyze in detail. Your workflow issue MUST be related to EHRs and be significantly tied to one or more meaningful use objectives. The workflow issue may be related to either the optimization of an existing EHR system or the implementation of an entirely new EHR system.
Establish your goals for conducting your gap analysis. These goals describe why you are conducting the gap analysis, the workflow issue you are pinpointing, and what you hope to accomplish in examining this issue.
Determine how you will collect data about the current workflow you are exploring for the Course Project. For example, you may choose to observe people as they move through the workflow, ask people about their experiences, confer with managers and leaders about their involvement, refer to your organization’s training manual or other informative documents, etc. Be sure to use more than one data-collection method and observe or consult with more than one person to ensure that the information you gather is balanced.
Note:
If you are not currently working in a health care organization, you must locate an organization in your area and obtain informal permission to speak with and observe individuals. Consult your Instructor if you have questions on how to proceed.
Participate in the Week 4 Discussion and review the comments made by your colleagues and the Instructor on your preliminary workflow issue. Revise your workflow issue and data-collection methods as appropriate.
After you have revised your workflow issue, begin composing your Gap Analysis Plan paper using.
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Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
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1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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Bio 500 grand canyon entire course latest
1. BIO 500 GRAND CANYON ENTIRE COURSE LATEST
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BIO 500 GRAND CANYON ENTIRE COURSE LATEST
BIO 500
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the
websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were
you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find
the most useful in these tutorials?
BIO 500 GC Week 1 Discussion 2 Latest
This course is designed to provide you with the knowledge and skills in application, evaluation, analysis,
and interpretation of bio statistical data used to inform public health programs, policy, and practice. View
the online video, “Careers in Biostatistics.” The video describes the education that a professional
biostatistician receives at the University of North Carolina. More than likely you will be working with
professional biostatisticians. Why is it important for you to take this course in biostatistics?
BIO 500 GC Week 2 Discussion 1 Latest
Compare a minimum of three statistical packages that are available to statisticians and/or students of
statistics.
BIO 500 GC Week 2 Discussion 2 Latest
Assume you are working for a local public health organization at the state level. Your team wants to
develop a program to prepare for a possible pandemic that is spreading worldwide. View, “Laurie Garrett
on Lessons From the 1918 Flu.” How could knowledge of the course objectives help you make
recommendations to your organization?
2. BIO 500 GC Week 3 Discussion 1 Latest
It is time to relate the rules and concepts of probability to the practice of statistics and experimentation.
Sampling distributions provide the link between probabilities and data. Recall that the sum of the
probabilities of all possible outcomes for a certain event must equal one. Because the variables
representing or describing a certain event can take on a range of values, the frequency of each of those
values forms a distribution of possible outcomes, each with its own probability of occurrence. View
“Central Limit Theorem” (media piece). What is the significance of the frequency histogram illustrated by
dice and numbers in “Dice Combination?” How does this relate to the central limit theorem provided in the
media? Roll the dice, what were your odds? HINT: Click on Dice Combination in the media. If you roll the
dice, you have to count the total number of two dice. There are two ways to check on your results (Refer
to the instructions by clicking Instructions); click on the dice combinations and odds given in the frequency
histogram and the table or click the red bar at the right side of the media piece. Explore the basic principle
of probability through this media piece. Utilize the quiz to ensure that you understand these basic
principles. What is the significance of probability in judgment and decision making in important aspects of
health care? Explain your response with an applicable example.
BIO 500 GC Week 3 Discussion 2 Latest
For the public health industry, describe some examples of a random variable.
BIO 500 GC Week 4 Discussion 1 Latest
Explain the important points of the central limit theorem
BIO 500 GC Week 4 Discussion 2 Latest
View “Seth Berkley: HIV and Flu–The Vaccine Strategy.”
What are some of the tools in this course that epidemiologists use to perform their work?
BIO 500 GC Week 5 Discussion 1 Latest
As a health care professional in public health, describe some examples of where hypothesis testing would
be used
BIO 500 GC Week 5 Discussion 2 Latest
This course is designed to provide you the knowledge and skills in application, evaluation, analysis, and
interpretation of biostatistical data used to inform public health programs, policy, and practice. Elizabeth
Pisani is an epidemiologist in public health and has a message about the role that politics has on the use
3. of the data. View “Elizabeth Pisani: Sex, Drugs and HIV – Let’s Get Rational.” Do you agree or disagree
with Pisani’s message about the role of politics in public health?
BIO 500 GC Week 6 Discussion 1 Latest
As a health care professional in public health, compare when you would use hypothesis testing and when
you would use regression.
BIO 500 GC Week 6 Discussion 2 Latest
If a regression line (linear regression line) is said to “fit” the data presented in a scatter plot, what relation
is minimized between the observed data, y, and the predicted output for the regression line?
BIO 500 GC Week 7 Discussion 1 Latest
As a health care professional in public health, describe some examples that demonstrate the importance
of interaction of variables in a two-way analysis of variance.
BIO 500 GC Week 7 Discussion 2 Latest
Explain why computing a variance of several numbers is like analyzing their differences.
BIO 500 GC Week 8 Discussion 1 Latest
Discuss the differences between parametric and nonparametric tests.
BIO 500 GC Week 8 Discussion 2 Latest
Discuss the advantages of nonparametric tests.
BIO 500 GC Week 4 Confidence Interval Latest
Details:
In the Topic 1 Assignment, you compared the BMI values from Data Set 1 (in the appendix of the
textbook) from a perspective of measuring the center and variation of the data. Chapters 5 and 6 in the
textbook allow you to use more sophisticated tools to estimate the parameters of a population.
Refer to Data Set 1 in Appendix B and use the sample data with Excel and/or SPSS to accomplish the
following:
Construct a 99% confidence interval estimate of the mean body mass index for men.
Construct a 99% confidence interval estimate of the mean body mass index for women.
4. Compare and interpret the results. It is known that men have a mean weight that is greater than the mean
weight for women, and the mean height of men is greater than the mean height of women. Do men also
have a mean body mass index that is greater than the mean body mass index of women?
APA format is not required, but solid academic writing is expected.
This assignment uses a grading rubric. Instructors will be using the rubric to grade the assignment;
therefore, students should review the rubric prior to beginning the assignment to become familiar with the
assignment criteria and expectations for successful completion of the assignment.
You are not required to submit this assignment to Turnitin.
BIO 500 GC Week 5 Hypothesis Testing Latest
Details:
Chapter 8 of the textbook explains how to make inferences from two samples using the process of
hypothesis testing.
Refer to Data Set 1 in Appendix B and test the claim that the mean body mass index (BMI) of men is
equal to the mean BMI of women.
Use Excel and/or SPSS to perform the hypothesis test.
Assume that the two samples are independent simple random samples selected from normally distributed
populations. Do not assume that the population standard deviations are equal.
Use “Example Hypothesis Test of Treatment for Bipolar Depression” on page 391 of the textbook as a
guide for your test.
APA format is not required, but solid academic writing is expected.
You are not required to submit this assignment to Turnitin.
BIO 500 GC Week 6 Effects of Heredity and Environment on IQ Latest
Details:
Use Excel or SPSS to complete Exercise 1 in the Cumulative Review Exercises on page 485 in the
textbook.
APA format is not required, but solid academic writing is expected.
You are not required to submit this assignment to Turnitin.
5. BIO 500 GC Week 7 Variance Analysis Latest
Details:
Chapter 11 of the textbook covers “Analysis of Variance”, however the authors state that “Testing for
Equality of Three or More Population Means” might be a better chapter title.
Use Excel or SPSS to perform the one-way analysis of variance (ANOVA) for the data in “From Data to
Decision” on page 565 of the textbook.
APA format is not required, but solid academic writing is expected.
You are not required to submit this assignment to Turnitin.
BIO 500 GC Week 8 BMI Statistical Report Latest
Details:
Write a 750-1000 word statistical laboratory report using the guidelines in the assigned article, “How to
Write a Statistical Report.” This statistical report is not meant to be an APA report or a multiple-page
scholarly treatise. The goal is that you become familiar with the formal report format that you will use
whenever you are reporting statistical analysis. The report format includes the following sections:
Abstract, Purpose, Methods, and Results.
Assume that you are asked to perform an exploratory data analysis in which the emphasis is to compare
the difference between the body mass index (BMI) values of men and women. Use Excel and/or SPSS to
create reports and run analyses on the data for the Data Set 1 in Appendix B of your textbook.
Assume you are a biostatistics analyst and you received a request from the director of the nutrition
program to perform the analysis. The director is developing an obesity program for the state and has
obtained the data set from the National Center for Health Statistics (NCHS). Because it has been some
time since the director has had a statistics course, any points that would make your analysis easier to
understand would be appreciated.
Generate appropriate histograms or box plots. Find appropriate statistics that will help to understand the
data set. Are there any notable features? Are there any outliers? Describe the key elements of center,
variation, distribution, and outliers.
A minimum of three scholarly references are required.
6. While APA format is not required for the body of this assignment, solid academic writing is expected, and
in-text citations and references should be presented using APA documentation guidelines, which can be
found in the APA Style Guide, located in the Student Success Center.
This assignment uses a grading rubric. Instructors will be using the rubric to grade the assignment;
therefore, students should review the rubric prior to beginning the assignment to become familiar with the
assignment criteria and expectations for successful completion of the assignment.
You are required to submit this assignment to Turnitin. Refer to the directions in the Student Success
Center.
BIO 500 GC Week 8 Rank Correlation Latest
Details:
Question 1. Use Excel or SPSS to complete Exercise 1 in the Cumulative Review Exercises on page
485 in the textbook.
APA format is not required, but solid academic writing is expected. Due Tuesday NOV 29th
Question 2. Chapter 11 of the textbook covers “Analysis of Variance”, however the authors state that
“Testing for Equality of Three or More Population Means” might be a better chapter title. Due December
6th
Question 3 Use Excel or SPSS to perform the one-way analysis of variance (ANOVA) for the data in
“From Data to Decision” on page 565 of the textbook.
APA format is not required, but solid academic writing is expected.
Question 4 For the following assignment, use the Rank Correlation that was demonstrated in Chapter
12 of the textbook (page 566). Utilizing Excel or SPSS:
Use a rank correlation coefficient to test for a correlation between two variables.
Use a significance level of α=0.05.
The new health care program in the United States makes provisions for capitation programs where health
care insurers work with clinical facilities to perform risk analysis of patients to determine the cost of
providing care. The following assignment might be used to assess how much a person smokes.
When nicotine is absorbed by the body, cotinine is produced. A measurement of cotinine in the body is
therefore a good indicator of how much a person smokes. The reported number of cigarettes smoked per
7. day and the measured amounts of cotinine (in ng/ml) are provided. (The values are from randomly
selected subjects in a National Health Examination Survey.) Is there a significant linear correlation? How
would you measure the cotinine level in the body? Explain the result.